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affaan-m

security-scan is a skill that analyzes Claude Code configurations for security issues using AgentShield.

affaan-m

python-testing is a set of strategies for testing Python applications using pytest, TDD methodology, and fixtures to ensure reliable and efficient code.

affaan-m

ai-first-engineering is an engineering operating model prioritizing agent-friendly architectures with explicit boundaries, stable contracts, and typed interfaces.

affaan-m

cpp-testing is a specialized AI agent skill for automating C++ test workflows, focusing on GoogleTest, CTest, and CMake configurations.

affaan-m

prompt-optimizer is a skill that refines and optimizes user prompts for AI agents, ensuring effective communication and improved outcomes.

affaan-m

ai-regression-testing is a set of testing patterns designed for AI-assisted development to catch blind spots where the same model writes and reviews code.

affaan-m

nanoclaw-repl is a zero-dependency session-aware REPL built on claude-p for operating and extending NanoClaw v2.

affaan-m

skill-stocktake is a slash command that audits Claude skills using a quality checklist and AI judgment.

affaan-m

agent-harness-construction is a technique for designing and optimizing AI agent action spaces, tool definitions, and observation formatting to achieve higher completion rates.

affaan-m

agentic-engineering is a workflow methodology using eval-first execution, decomposition, and cost-aware model routing for efficient AI agent operation.

affaan-m

eval-harness is a formal evaluation framework implementing eval-driven development principles for Claude Code sessions

affaan-m

jpa-patterns is a set of expert techniques for designing JPA entities, defining relationships, and optimizing queries in Spring Boot applications using Hibernate.